1What is the main purpose of analysis of variance (ANOVA)?
Analysis of variance for mean difference
Easy
A.To calculate a sample median
B.To predict one categorical value
C.To measure internal consistency
D.To compare means across groups
Correct Answer: To compare means across groups
Explanation:
ANOVA tests whether the means of two or more groups differ significantly.
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2In a one-way ANOVA, what does the null hypothesis usually state?
Analysis of variance for mean difference
Easy
A.All group means are different
B.All group variances are zero
C.All group means are equal
D.All observations are identical
Correct Answer: All group means are equal
Explanation:
The null hypothesis in one-way ANOVA states that all population group means are equal.
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3Which test statistic is commonly used in ANOVA?
Analysis of variance for mean difference
Easy
A.The statistic
B.The correlation coefficient
C.The chi-square statistic
D.The statistic
Correct Answer: The statistic
Explanation:
ANOVA uses the statistic, which compares between-group variation with within-group variation.
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4If an ANOVA result has , what is the usual conclusion at the 5% significance level?
Analysis of variance for mean difference
Easy
A.Every group mean is equal
B.Every group mean differs
C.At least one group mean differs
D.The sample size is insufficient
Correct Answer: At least one group mean differs
Explanation:
A result with provides evidence that at least one group mean is significantly different.
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5What does reliability refer to in research measurement?
Reliability
Easy
A.Size of the research sample
B.Consistency of measurement results
C.Importance of the research topic
D.Accuracy of a causal theory
Correct Answer: Consistency of measurement results
Explanation:
Reliability concerns whether an instrument produces consistent and stable results.
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6Which type of reliability is assessed by giving the same test to the same participants at two different times?
Reliability
Easy
A.Inter-rater reliability
B.Internal consistency reliability
C.Test-retest reliability
D.Parallel-forms reliability
Correct Answer: Test-retest reliability
Explanation:
Test-retest reliability evaluates the stability of scores across two points in time.
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7Which statistic is commonly used to assess the internal consistency of a multi-item scale?
Reliability
Easy
A.The statistic
B.Pearson's correlation
C.The regression slope
D.Cronbach's alpha
Correct Answer: Cronbach's alpha
Explanation:
Cronbach's alpha measures how consistently the items in a scale assess the same concept.
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8What does inter-rater reliability measure?
Reliability
Easy
A.Agreement among different observers
B.Stability of scores over time
C.Association between two variables
D.Coverage of a subject area
Correct Answer: Agreement among different observers
Explanation:
Inter-rater reliability indicates the degree to which different observers or raters agree.
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9What does validity indicate about a research instrument?
Validity
Easy
A.It contains many questionnaire items
B.It measures the intended concept
C.It uses a large research sample
D.It always produces identical scores
Correct Answer: It measures the intended concept
Explanation:
Validity refers to how accurately an instrument measures the concept it is designed to measure.
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10Which type of validity examines whether an instrument adequately covers all aspects of a topic?
Validity
Easy
A.Statistical validity
B.Content validity
C.Construct validity
D.Criterion validity
Correct Answer: Content validity
Explanation:
Content validity evaluates whether the items adequately represent the full content area.
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11Which type of validity examines whether a measure behaves according to the theory of its underlying concept?
Validity
Easy
A.Content validity
B.External validity
C.Face validity
D.Construct validity
Correct Answer: Construct validity
Explanation:
Construct validity assesses whether a measure operates as expected for the theoretical construct.
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12Criterion validity is assessed by comparing a measure with what?
Validity
Easy
A.An external standard
B.A larger questionnaire
C.A random sample
D.An unrelated variable
Correct Answer: An external standard
Explanation:
Criterion validity evaluates a measure by comparing it with a relevant external criterion or standard.
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13How many predictor variables are used in a simple bivariate regression model?
Bivariate regression
Easy
A.Four predictor variables
B.Two predictor variables
C.One predictor variable
D.Three predictor variables
Correct Answer: One predictor variable
Explanation:
Bivariate regression examines the relationship between one predictor variable and one outcome variable.
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14In the bivariate regression equation , what does represent?
Bivariate regression
Easy
A.The regression slope
B.The model residual
C.The regression intercept
D.The predicted outcome
Correct Answer: The regression slope
Explanation:
The slope shows the expected change in for a one-unit increase in .
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15In the equation , which variable is the dependent variable?
Bivariate regression
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
is the dependent or outcome variable whose value is predicted by the model.
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16What does a positive regression slope indicate?
Bivariate regression
Easy
A. tends to decrease as increases
B. tends to increase as increases
C. has no observed values
D. remains constant as increases
Correct Answer: tends to increase as increases
Explanation:
A positive slope indicates that higher values of are associated with higher predicted values of .
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17What distinguishes multiple regression from bivariate regression?
Multiple regression analysis
Easy
A.It uses two or more predictors
B.It compares only group means
C.It measures only test consistency
D.It uses no outcome variable
Correct Answer: It uses two or more predictors
Explanation:
Multiple regression predicts one outcome using two or more predictor variables.
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18In multiple regression, what does represent?
Multiple regression analysis
Easy
A.The proportion of outcome variance explained
B.The average value of the outcome
C.The difference between group means
D.The number of predictors included
Correct Answer: The proportion of outcome variance explained
Explanation:
indicates the proportion of variation in the dependent variable explained by the predictors.
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19What is the dependent variable in a multiple regression model?
Multiple regression analysis
Easy
A.The variable selected randomly
B.The variable being predicted
C.The variable used as a predictor
D.The variable held constant
Correct Answer: The variable being predicted
Explanation:
The dependent variable is the outcome that the regression model aims to explain or predict.
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20What is multicollinearity in multiple regression?
Multiple regression analysis
Easy
A.Low consistency among scale items
B.High correlation among predictor variables
C.Low agreement among research raters
D.High variation in the outcome variable
Correct Answer: High correlation among predictor variables
Explanation:
Multicollinearity occurs when two or more predictors are highly correlated with each other.
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21A researcher compares mean test scores across four teaching methods using one-way ANOVA. The analysis gives with . What is the most appropriate conclusion?
Analysis of variance for mean difference
Medium
A.At least one population mean differs from another
B.All four population means are significantly different
C.Exactly two population means are significantly different
D.The teaching method with the largest mean is best
Correct Answer: At least one population mean differs from another
Explanation:
A significant ANOVA indicates that not all population means are equal. Post hoc comparisons are needed to identify which means differ.
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22In a one-way ANOVA, the between-group mean square is and the within-group mean square is . What is the calculated statistic?
Analysis of variance for mean difference
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The ANOVA statistic is .
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23A one-way ANOVA finds a significant difference among five group means. Which procedure is most suitable for determining which pairs of means differ while controlling the familywise Type I error rate?
Analysis of variance for mean difference
Medium
A.A separate unadjusted test for every pair
B.Tukey's honestly significant difference test
C.A Pearson correlation significance test
D.A one-sample test for each mean
Correct Answer: Tukey's honestly significant difference test
Explanation:
Tukey's test performs pairwise mean comparisons while controlling the familywise error rate across the set of comparisons.
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24Three independent groups have strongly unequal variances and noticeably different sample sizes. Which approach is most appropriate for comparing their means?
Analysis of variance for mean difference
Medium
A.Use repeated-measures ANOVA
B.Use the standard pooled ANOVA
C.Use a paired-samples test
D.Use Welch's ANOVA
Correct Answer: Use Welch's ANOVA
Explanation:
Welch's ANOVA is designed for independent groups when the homogeneity-of-variance assumption is violated, especially with unequal sample sizes.
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25A 20-item attitude scale has Cronbach's alpha of . After removing one poorly correlated item, alpha rises to . What does this result most directly suggest?
Reliability
Medium
A.The removed item weakened internal consistency
B.The remaining items have no measurement error
C.The respondents became more stable over time
D.The scale now has established criterion validity
Correct Answer: The removed item weakened internal consistency
Explanation:
An increase in alpha after deleting an item suggests that the item was not measuring the same underlying construct consistently with the other items.
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26A researcher administers the same anxiety questionnaire to the same participants twice, two weeks apart, and correlates the two sets of scores. Which type of reliability is being assessed?
Reliability
Medium
A.Inter-rater reliability
B.Test-retest reliability
C.Parallel-forms reliability
D.Internal consistency reliability
Correct Answer: Test-retest reliability
Explanation:
Test-retest reliability evaluates the stability of scores by administering the same instrument to the same participants at different times.
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27A test has a standard deviation of and a reliability coefficient of . Using , what is its standard error of measurement?
Reliability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The standard error is .
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28Two trained observers independently classify classroom behavior into the same set of categories. Which statistic is most appropriate for assessing agreement beyond chance?
Reliability
Medium
A.Pearson's slope
B.Cronbach's alpha
C.Cohen's kappa
D.Adjusted
Correct Answer: Cohen's kappa
Explanation:
Cohen's kappa measures agreement between two raters on categorical outcomes while accounting for agreement expected by chance.
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29Experts review a new research-methods examination to determine whether its questions adequately represent all areas in the course syllabus. Which form of validity is primarily being evaluated?
Validity
Medium
A.Predictive validity
B.Concurrent validity
C.Discriminant validity
D.Content validity
Correct Answer: Content validity
Explanation:
Content validity concerns whether an instrument adequately covers the full domain of the construct or subject matter being measured.
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30Scores from a university entrance test are correlated with students' grade point averages obtained at the end of their first year. Which type of validity does this evidence support?
Validity
Medium
A.Discriminant validity
B.Predictive validity
C.Face validity
D.Content validity
Correct Answer: Predictive validity
Explanation:
Predictive validity is supported when current test scores are associated with a relevant outcome measured in the future.
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31A new depression scale correlates strongly with an established depression inventory but weakly with a measure of mathematical ability. What does this pattern support?
Validity
Medium
A.Convergent and discriminant validity
B.Internal and inter-rater reliability
C.Content and predictive validity
D.Face and concurrent reliability
Correct Answer: Convergent and discriminant validity
Explanation:
The strong correlation with a similar construct supports convergent validity, while the weak correlation with an unrelated construct supports discriminant validity.
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32A questionnaire produces highly consistent scores, but it systematically measures social confidence instead of the intended construct of self-esteem. Which statement best describes the questionnaire?
Validity
Medium
A.It has content validity and no measurement bias
B.It is valid but lacks internal consistency
C.It has predictive validity but low stability
D.It is reliable but lacks construct validity
Correct Answer: It is reliable but lacks construct validity
Explanation:
Consistency indicates reliability, but measuring the wrong construct means that the questionnaire lacks construct validity.
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33A regression model predicting examination score from study time is , where is the number of study hours. What score is predicted for a student who studies for hours?
Bivariate regression
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Substituting gives .
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34In the model , where is daily screen time in hours and is a concentration score, how should the slope be interpreted?
Bivariate regression
Medium
A.Each extra hour predicts a -point decrease in concentration
B.Each extra hour predicts a -point decrease in concentration
C.A concentration increase of predicts one extra screen hour
D.Zero screen time predicts a concentration score of
Correct Answer: Each extra hour predicts a -point decrease in concentration
Explanation:
The slope represents the predicted change in concentration score for a one-hour increase in daily screen time.
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35The correlation between two variables is . In a bivariate linear regression with an intercept, what proportion of variance in the outcome is explained by the predictor?
Bivariate regression
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
For bivariate linear regression, , so the predictor explains of the outcome variance.
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36For one participant, a regression model predicts a score of , while the observed score is . Using , what is the residual?
Bivariate regression
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The residual is the observed value minus the predicted value: .
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37A multiple regression model is , where is study hours and is absence days. What is the predicted outcome for and ?
Multiple regression analysis
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Substitution gives .
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38In a regression predicting salary from education and work experience, the coefficient for education is when experience is included in the model. How should this coefficient be interpreted?
Multiple regression analysis
Medium
A.Each additional education year predicts more salary, holding experience constant
B.Education and experience together increase salary by exactly
C.A salary increase of causes one additional education year
D.Each additional experience year predicts more salary, holding education constant
Correct Answer: Each additional education year predicts more salary, holding experience constant
Explanation:
A multiple-regression coefficient represents the predicted change in the outcome for a one-unit predictor increase while the other predictors are held constant.
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39A regression model has and adjusted after several weak predictors are added. What does the difference most reasonably indicate?
Multiple regression analysis
Medium
A.Some predictors add little useful explanatory power
B.Every predictor has a significant unique effect
C.The model satisfies all regression assumptions
D.The outcome contains no unexplained variance
Correct Answer: Some predictors add little useful explanatory power
Explanation:
Adjusted penalizes unnecessary predictors. A noticeable reduction from suggests that some added variables contribute little after model complexity is considered.
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40In a multiple regression model, two predictors have variance inflation factors above , and their estimated coefficients change greatly when either predictor is removed. What is the most likely problem?
Multiple regression analysis
Medium
A.Homoscedasticity
B.Outcome truncation
C.Independent errors
D.Multicollinearity
Correct Answer: Multicollinearity
Explanation:
Large variance inflation factors and unstable coefficients indicate that predictors are strongly related, making their separate effects difficult to estimate.
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41A one-way ANOVA compares three groups, each containing five observations. The group means are , , and , and the within-group sum of squares is . What is the resulting statistic?
Analysis of variance for mean difference
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The grand mean is . Thus, . Therefore, .
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42In a one-way ANOVA, group sizes are highly unequal and the smallest group has the largest population variance. Assuming normal observations, which conclusion is most appropriate?
Analysis of variance for mean difference
Hard
A.The conventional test becomes conservative; the Kruskal–Wallis test is mandatory
B.The conventional test may have an inflated Type I error; Welch's ANOVA is preferable
C.The conventional test remains exact if all group means are estimated without bias
D.The unequal variances are harmless because normality ensures robustness of the test
Correct Answer: The conventional test may have an inflated Type I error; Welch's ANOVA is preferable
Explanation:
A negative pairing of sample size and variance—small groups having large variances—can make the ordinary ANOVA liberal. Welch's ANOVA adjusts for heteroscedasticity and unequal group sizes.
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43A repeated-measures factor has four levels, and its uncorrected ANOVA has degrees of freedom . Mauchly's test indicates violated sphericity, with Greenhouse–Geisser estimate . Which correction is applied?
Analysis of variance for mean difference
Hard
A.Use degrees of freedom while retaining the observed value
B.Use degrees of freedom while increasing the observed value
C.Use degrees of freedom while reducing the observed value
D.Use degrees of freedom while retaining the original critical value
Correct Answer: Use degrees of freedom while retaining the observed value
Explanation:
The Greenhouse–Geisser correction multiplies both degrees of freedom by : . It changes the reference distribution, not the computed statistic.
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44In a balanced factorial study, the cell means are and for across and , and and for across the same levels. What pattern of effects is implied?
Analysis of variance for mean difference
Hard
A.A main effect of factor , but no interaction
B.Equal main effects of both factors and an additive pattern
C.A main effect of factor , but no interaction
D.No main effect of either factor, but a crossover interaction
Correct Answer: No main effect of either factor, but a crossover interaction
Explanation:
Every marginal mean equals , so neither factor has a main effect. The effect of reverses across levels of , producing a crossover interaction.
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45An eight-item standardized scale has an average inter-item correlation of . What is its standardized Cronbach's alpha?
Reliability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
For standardized items, . Hence, .
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46A test has reliability . If its length is increased by a factor of using items parallel to the original items, what reliability is predicted by the Spearman–Brown formula?
Reliability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The predicted reliability is .
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47Two measures correlate at . Their reliabilities are and . Under classical test theory, what is the estimated correlation between their error-free true scores?
Reliability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Correction for attenuation gives . This estimate assumes measurement errors are uncorrelated with each other and with true scores.
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48A scale has Cronbach's alpha of but test–retest reliability of . Which interpretation best reconciles these results?
Reliability
Hard
A.Items measure unrelated constructs, but scores remain stable across occasions
B.The scale has low random error both within and across testing occasions
C.The scale necessarily has strong construct validity despite temporal instability
D.Items are internally homogeneous, but scores may be unstable across occasions
Correct Answer: Items are internally homogeneous, but scores may be unstable across occasions
Explanation:
Alpha assesses internal consistency at one occasion, whereas test–retest reliability assesses temporal stability. Shared occasion-specific influences can produce high alpha but low stability.
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49Which correlation pattern provides the strongest evidence of convergent and discriminant validity in a multitrait–multimethod matrix?
Validity
Hard
A.High same-trait correlations across methods and lower different-trait correlations within methods
B.Low same-trait correlations across methods and high correlations between measurement errors
C.High different-trait correlations within methods and lower same-trait correlations across methods
D.Equal correlations for all trait–method combinations regardless of trait identity
Correct Answer: High same-trait correlations across methods and lower different-trait correlations within methods
Explanation:
Convergent validity requires strong agreement for the same trait measured by different methods. Discriminant validity requires those correlations to exceed correlations involving different traits.
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50Twelve experts evaluate whether an item is essential, and ten classify it as essential. Using Lawshe's content validity ratio, what is the item's ?
Validity
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Lawshe's formula is . Thus, .
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51A reduced criterion-prediction model has . Adding two focal predictors produces . With and five predictors in the full model, what is the partial statistic for the added predictors?
Validity
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Use . This gives , testing the predictors' incremental validity.
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52Researchers wish to compare latent construct means across two cultural groups. Which level of measurement invariance is ordinarily required before interpreting the latent mean difference?
Validity
Hard
A.Strict invariance only
B.Configural invariance only
C.Metric invariance only
D.Scalar invariance
Correct Answer: Scalar invariance
Explanation:
Scalar invariance requires equal factor loadings and item intercepts across groups, allowing latent mean comparisons. Strict invariance additionally constrains residual variances but is not ordinarily necessary for this purpose.
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53For variables and , , , , , and . What value of is predicted when ?
Bivariate regression
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The slope is . Therefore, .
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54Given , , and , the slope from regressing on is . What is the slope from separately regressing on ?
Bivariate regression
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
For the reverse regression, . Regression slopes are not generally reciprocals unless .
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55At , why is a prediction interval for a new individual response wider than a confidence interval for the mean response?
Bivariate regression
Hard
A.It corrects attenuation in while the confidence interval does not
B.It uses a larger slope estimate and excludes uncertainty in the fitted intercept
C.It assumes heteroscedastic errors while the confidence interval assumes normal errors
D.It includes both mean-estimation uncertainty and irreducible individual residual variation
Correct Answer: It includes both mean-estimation uncertainty and irreducible individual residual variation
Explanation:
A confidence interval concerns the conditional mean . A prediction interval must also account for the residual variability of a new individual outcome around that mean.
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56A new observation is added far from but lies almost exactly on the existing fitted regression line. What is its most likely effect?
Bivariate regression
Hard
A.It must create a large residual and substantially weaken the fitted linear relationship
B.It necessarily changes the slope's sign because its predictor value is unusually distant
C.It may increase leverage and reduce the slope's standard error without creating a large residual
D.It has negligible leverage because its standardized residual is approximately zero
Correct Answer: It may increase leverage and reduce the slope's standard error without creating a large residual
Explanation:
An extreme value has high leverage. If it follows the existing linear pattern, it can add information about the slope and reduce its standard error while having little residual-based influence.
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57Predictor has a near-zero bivariate correlation with outcome , yet its regression coefficient becomes large and significant after predictor is included. Which explanation is most plausible?
Multiple regression analysis
Hard
A. suppresses variance in that is irrelevant to predicting
B. converts the residuals into perfectly homoscedastic random variables
C. proves that the zero-order association between and is causal
D. eliminates all sampling error from the estimated coefficient of
Correct Answer: suppresses variance in that is irrelevant to predicting
Explanation:
A suppressor variable removes criterion-irrelevant variance from another predictor. This can reveal a predictive association that was obscured in the zero-order correlation.
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58A predictor has a variance inflation factor of . Relative to an otherwise comparable orthogonal design, by what factor is its coefficient's standard error inflated?
Multiple regression analysis
Hard
A.A factor of
B.A factor of
C.A factor of
D.A factor of
Correct Answer: A factor of
Explanation:
The variance is inflated by , so the standard error is inflated by . Therefore, .
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59A regression model has , four predictors, and . What is the adjusted coefficient of determination?
Multiple regression analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Use . Thus, .
Incorrect! Try again.
60Consider the fitted model . At what value of is the conditional effect of on equal to zero?
Multiple regression analysis
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The conditional effect of is . Setting this equal to zero gives , so .
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